Job Description
Are you ready to architect the future of intelligent technology?
Nexus Future Systems is pioneering the next generation of AI infrastructure. As we prepare for the major product launch in 2026, we are seeking a visionary Senior AI Research Engineer to join our elite San Francisco team. You will be at the forefront of developing breakthrough algorithms that will define the industry standard for the coming decade.
In this role, you won't just be maintaining legacy systems; you will be building the core components of our roadmap, ensuring our solutions are scalable, ethical, and ahead of the curve. If you are passionate about pushing the boundaries of what is possible with artificial intelligence, we want to hear from you.
Why Join Us?
- Work on mission-critical projects that will define the 2026 tech landscape.
- Competitive equity package and top-tier health benefits.
- Flexible remote-first culture with a vibrant in-office hub in San Francisco.
- Access to cutting-edge hardware and proprietary datasets.
Responsibilities
- Lead R&D Initiatives: Spearhead research and development efforts focused on the 2026 product roadmap, including Generative AI and Large Language Models.
- Model Architecture: Design, implement, and optimize deep learning architectures to achieve state-of-the-art performance.
- Team Leadership: Mentor junior data scientists and engineers, fostering a culture of innovation and continuous learning.
- Data Strategy: Oversee the data pipeline strategy, ensuring high-quality training data and robust model evaluation frameworks.
- Collaboration: Partner closely with product managers and engineering teams to translate technical research into production-ready solutions.
- Publication: Contribute to internal white papers and, where applicable, publish findings at top-tier AI conferences.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
- Experience: Minimum of 5 years of professional experience in AI/ML engineering, with a proven track record of shipping production models.
- Technical Skills: Strong proficiency in Python, TensorFlow, PyTorch, and C++.
- Domain Knowledge: Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
- Problem Solving: Exceptional ability to solve complex mathematical and algorithmic problems under tight deadlines.
- Communication: Excellent written and verbal communication skills for technical and non-technical stakeholders.